Y
Yichen Lin
Researcher at National University of Tainan
Publications - 17
Citations - 452
Yichen Lin is an academic researcher from National University of Tainan. The author has contributed to research in topics: Ontology (information science) & Capability Maturity Model Integration. The author has an hindex of 9, co-authored 16 publications receiving 421 citations.
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Journal ArticleDOI
A knowledge-enabled procedure for customer relationship management
TL;DR: In this paper, the authors present a model of knowledge-enabled customer relationship management and demonstrate the way in which the presented model can facilitate the identification of important factors that have key impacts on business performance in particular settings.
Posted Content
Investigating the Drivers of the Innovation in Channel Integration and Supply Chain Performance: A Strategy Orientated Perspective
TL;DR: In this article, the authors present a model which addresses the drivers of innovation in channel integration in supply chain management and reveal that market orientation is significantly related to embedding operant resources and resource integration.
Journal ArticleDOI
Investigating the drivers of the innovation in channel integration and supply chain performance: A strategy orientated perspective
TL;DR: In this paper, the authors present a model which addresses the drivers of innovation in channel integration in supply chain management and reveal that market orientation is significantly related to embedding operant resources and resource integration.
Journal ArticleDOI
Influences of cross-functional collaboration and knowledge creation on technology commercialization: Evidence from high-tech industries
TL;DR: In this paper, a survey of 203 marketing and R&D managers and employees in Taiwanese high-tech companies indicated that cross-function collaboration reveals fresh opportunities for creating knowledge and commercializing technologies.
Proceedings ArticleDOI
A type-2 fuzzy personal ontology for meeting scheduling system
TL;DR: The fuzzy markup language (FML) is used to describe the knowledge base and rule base of the proposed meeting schedule system, and then each potential attendee's meeting-attending possibility is inferred through the fuzzy inference mechanism.